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AI Agent Cost Calculator — How Much Do Agentic Workflows Cost?
Calculate the cost of running AI agents that use tools, make decisions, and complete multi-step tasks.
How We Calculate This
AI agents make multiple LLM calls per task — each call includes growing conversation history, tool results, and reasoning. A single agent task averages 10,000 input tokens and 3,000 output tokens across its calls. An organization might run 50 agent tasks per day.
Frequently Asked Questions
Why are AI agents so expensive?▼
Agents make multiple sequential API calls, each with growing context. A single task might require 5-20 LLM calls, multiplying the cost. Context window growth means later calls are much more expensive than early ones.
What is the best model for AI agents?▼
Claude Opus 4.6 and GPT-5.2 are the most capable for complex agentic tasks. For simpler agents, Claude Sonnet 4.5 offers a great balance of capability and cost.
How can I reduce AI agent costs?▼
Use model routing (cheap model for simple steps, expensive for complex), prune conversation history, cache tool results, and batch non-urgent operations.